title: The interaction among donor characteristics, severity of liver disease, and the cost of liver transplantation.
abstract: Accurate assessment of the impact of donor quality on liver transplant (LT) costs has been limited by the lack of a large, multicenter study of detailed clinical and economic data. A novel, retrospective database linking information from the University HealthSystem Consortium and the Organ Procurement and Transplantation Network registry was analyzed using multivariate regression to determine the relationship between donor quality (assessed through the Donor Risk Index [DRI]), recipient illness severity, and total inpatient costs (transplant and all readmissions) for 1 year following LT. Cost data were available for 9059 LT recipients. Increasing MELD score, higher DRI, simultaneous liver-kidney transplant, female sex, and prior liver transplant were associated with increasing cost of LT (P < 0.05). MELD and DRI interact to synergistically increase the cost of LT (P < 0.05). Donors in the highest DRI quartile added close to $12,000 to the cost of transplantation and nearly $22,000 to posttransplant costs in comparison to the lowest risk donors. Among the individual components of the DRI, donation after cardiac death (increased costs by $20,769 versus brain dead donors) had the greatest impact on transplant costs. Overall, 1-year costs were increased in older donors, minority donors, nationally shared organs, and those with cold ischemic times of 7-13 hours (P < 0.05 for all). In conclusion, donor quality, as measured by the DRI, is an independent predictor of LT costs in the perioperative and postoperative periods. Centers in highly competitive regions that perform transplantation on higher MELD patients with high DRI livers may be particularly affected by the synergistic impact of these factors.
authors.affiliation: Department of Surgery, University of Washington, Seattle, WA, USA.
authors.forename: Paolo R
authors.initials: PR
authors.lastname: Salvalaggio
authors.forename: Nino
authors.initials: N
authors.lastname: Dzebisashvili
authors.forename: Kara E
authors.initials: KE
authors.lastname: MacLeod
authors.forename: Krista L
authors.initials: KL
authors.lastname: Lentine
authors.forename: Adrian
authors.initials: A
authors.lastname: Gheorghian
authors.forename: Mark A
authors.initials: MA
authors.lastname: Schnitzler
authors.forename: Samuel
authors.initials: S
authors.lastname: Hohmann
authors.forename: Dorry L
authors.initials: DL
authors.lastname: Segev
authors.forename: Sommer E
authors.initials: SE
authors.lastname: Gentry
authors.forename: David A
authors.initials: DA
authors.lastname: Axelrod
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D046148:Donor Selection / Q000706:statistics & numerical data; D005260:Female; D017721:Hospital Costs; D006801:Humans; D053208:Kaplan-Meier Estimate; D016014:Linear Models; D008107:Liver Diseases / Q000175:diagnosis / Q000401:mortality / Q000601:surgery*; D016031:Liver Transplantation / Q000009:adverse effects / Q000191:economics / Q000401:mortality; D008297:Male; D008875:Middle Aged; D010359:Patient Readmission / Q000191:economics; D012042:Registries; D012189:Retrospective Studies; D018570:Risk Assessment; D012307:Risk Factors; D012720:Severity of Illness Index; D013997:Time Factors; D014019:Tissue Donors / Q000706:statistics & numerical data; D009927:Tissue and Organ Procurement; D016896:Treatment Outcome; D014481:United States; D055815:Young Adult